{"id":"W1124561823","doi":"","title":"甘蔗斑茅的杂交利用及其杂种后代鉴定系列研究（二）：甘蔗斑茅远缘真实杂种的分子鉴定","year":2004,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003297323,0.000470913,0.0004246329,0.0001402753,0.000214699,0.00009862348,0.0006283096,0.0005588668,0.0004047582],"category_scores_gemma":[0.0001518057,0.0004719479,0.0004323234,0.0003280168,0.0001618053,0.000008520895,0.000384473,0.0002875591,0.001321406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007746877,"about_ca_system_score_gemma":0.0003607814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001214797,"about_ca_topic_score_gemma":0.0001491166,"domain_scores_codex":[0.9973047,0.0001475149,0.0005006223,0.0009365748,0.0003952551,0.0007152889],"domain_scores_gemma":[0.9981619,0.00001546715,0.0002162904,0.001092512,0.0001345862,0.0003792844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007869153,0.000365409,0.0009796547,0.00004834905,0.0004437644,0.0001046396,0.0001354438,0.001229143,0.915881,0.001617138,0.07459354,0.004523202],"study_design_scores_gemma":[0.003167074,0.0004252022,0.001310232,0.0001899765,0.0003570596,0.0001732456,0.000275781,0.00005755088,0.4962339,0.002754872,0.4936881,0.001367063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4046211,0.01453984,0.01036358,0.005656444,0.002753695,0.0008576658,0.0006945042,0.0001881898,0.560325],"genre_scores_gemma":[0.9788821,0.001495666,0.001295351,0.001164909,0.001102225,0.00002002577,0.0005214876,0.00007241022,0.01544586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.574261,"threshold_uncertainty_score":0.9997732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006791137007792666,"score_gpt":0.2399252778197593,"score_spread":0.2331341408119667,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}